• Hierarchical Rigid Registration of Femur Surface Model Based on Anatomical Features
  • Abstract Existing model registration of individual bones does not have a high certainly of success due to the lack of anatomic semantic. In light of the surface anatomy and functional structure of bones, we hypothesized individual femur models would be aligned through feature points both in geometrical level and in anatomic level, and proposed a hierarchical approach for the rigid registration (HRR) of point cloud models of femur with high resolution. Firstly, a coarse registration between two simplified point cloud models was implemented based on the extraction of geometric feature points (GFPs); and then, according to the anatomic feature points (AFPs)… More
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  • Meta-Analysis of the Relationship between Normal Tension Glaucoma, Open-Angle Glaucoma, and Fractional Pressure Reserve
  • Abstract Aim: To investigate the relationship between glaucoma and intraocular pressure (IOP), intracranial pressure (ICP), trans-laminar cribrosa pressure difference (TLCPD), and the newly proposed fractional pressure reserve (FPR). Methods: Ten articles were analyzed by meta-analysis, and subgroup analysis of three factors was conducted. Results: The patients with normal tension glaucoma (NTG) and open-angle glaucoma (OAG) have higher TLCPD and lower ICP than healthy subjects, with obvious heterogeneity. The greater heterogeneity may arise from different ICP measurements and from different countries or regions. FPR performs better than TLCPD in some ways. Conclusion: Both FPR and TLCPD can be used as indicators of… More
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  • Morphologies of Fibronectin Fibrils Formed under Shear Conditions and Their Cellular Adhesiveness Properties
  • Abstract Fibrillar fibronectin (FFN) is a biological active form of FN which form linear and branched meshwork around cells and support cellular activities. Previous studies have demonstrated that shear stress can induce cell-free FN fibrillogenesis. In this study, we further examined the effect of shear stress conditions on morphology of formed FFN and preliminarily looked for relationship between FFN’s morphology and cell adhesion. Plasma FN at 50 µg/ml was perfused through channel slides at shear rates of 500 s-1 or 4000 s-1. Our results showed that there were four FFN structures formed: (1) FN nodules, (2) fibril in different sizes (3)… More
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  • Genetically Encoded FRET Biosensor Detects the Enzymatic Activity of Prostate-Specific Antigen
  • Abstract Prostate cancer is the most common cancer among men beyond 50 years old, and ranked the second in mortality. The level of Prostate-specific antigen (PSA) in serum has been a routine biomarker for clinical assessment of the cancer development, which is detected mostly by antibody-based immunoassays. The proteolytic activity of PSA also has important functions. Here a genetically encoded biosensor based on fluorescence resonance energy transfer (FRET) technology was developed to measure PSA activity. In vitro assay showed that the biosensor containing a substrate peptide ‘RLSSYYSGAG’ had 400% FRET change in response to 1 µg/ml PSA within 90 min, and… More
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  • Information Classification and Extraction on Official Web Pages of Organizations
  • Abstract As a real-time and authoritative source, the official Web pages of organizations contain a large amount of information. The diversity of Web content and format makes it essential for pre-processing to get the unified attributed data, which has the value of organizational analysis and mining. The existing research on dealing with multiple Web scenarios and accuracy performance is insufficient. This paper aims to propose a method to transform organizational official Web pages into the data with attributes. After locating the active blocks in the Web pages, the structural and content features are proposed to classify information with the specific model.… More
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  • Identification of Weather Phenomena Based on Lightweight Convolutional Neural Networks
  • Abstract Weather phenomenon recognition plays an important role in the field of meteorology. Nowadays, weather radars and weathers sensor have been widely used for weather recognition. However, given the high cost in deploying and maintaining the devices, it is difficult to apply them to intensive weather phenomenon recognition. Moreover, advanced machine learning models such as Convolutional Neural Networks (CNNs) have shown a lot of promise in meteorology, but these models also require intensive computation and large memory, which make it difficult to use them in reality. In practice, lightweight models are often used to solve such problems. However, lightweight models often… More
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